import pycountry
import plotly.express as px
import pandas as pd
# ----------- Step 1 ------------
URL_DATASET = r'https://raw.githubusercontent.com/datasets/covid-19/master/data/countries-aggregated.csv'
df1 = pd.read_csv(URL_DATASET)
# print(df1.head) # Uncomment to see what the dataframe is like
# ----------- Step 2 ------------
list_countries = df1['Country'].unique().tolist()
# print(list_countries) # Uncomment to see list of countries
d_country_code = {} # To hold the country names and their ISO
for country in list_countries:
try:
country_data = pycountry.countries.search_fuzzy(country)
# country_data is a list of objects of class pycountry.db.Country
# The first item ie at index 0 of list is best fit
# object of class Country have an alpha_3 attribute
country_code = country_data[0].alpha_3
d_country_code.update({country: country_code})
except:
print('could not add ISO 3 code for ->', country)
# If could not find country, make ISO code ' '
d_country_code.update({country: ' '})
# print(d_country_code) # Uncomment to check dictionary
# create a new column iso_alpha in the df
# and fill it with appropriate iso 3 code
for k, v in d_country_code.items():
df1.loc[(df1.Country == k), 'iso_alpha'] = v
# print(df1.head) # Uncomment to confirm that ISO codes added
# ----------- Step 3 ------------
fig = px.choropleth(data_frame = df1,
locations= "iso_alpha",
color= "Confirmed", # value in column 'Confirmed' determines color
hover_name= "Country",
color_continuous_scale= 'RdYlGn', # color scale red, yellow green
animation_frame= "Date")
fig.show()